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Free · open sourceApache-2.0Unclaimed listing

agent is by get-convex — not by us.

We indexed this project so people can find it. We are not selling it, we host no copy of the code, and we are not affiliated with or endorsed by its authors — get it from them.

Indexed Sep 28, 2026 · 357 stars at index time. Maintainers: claiming verifies your identity and unlocks a higher assurance tier. Removal requests are honored.

AI agent · for humans & their agents

agent

unclaimed listingactively maintainedFreeApache-2.0

Build AI agents on Convex with persistent chat history

by Open Source Community · New publisher

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docs.convex.dev/agents

get-convex/agent is an open-source project by get-convex: Build AI agents on Convex with persistent chat history. Indexed here so it can be found — not resold.

It is free. Get it from the upstream repository: https://github.com/get-convex/agent

From the project's own README (excerpt, reproduced for discovery under its Apache-2.0 license):

Convex Agent Component

Build AI agents on Convex with persistent chat threads, tool calling, streaming, and RAG. Long-running agent workflows stay separate from the UI while clients keep reactive updates.

AI Agents, built on Convex. Check out the docs here.

The Agent component manages threads and messages that agents can use in static or dynamic workflows. • Agents provide an abstraction for using LLMs to represent units of use-case-specific prompting with associated models, prompts, Tool Calls, and behavior in relation to other Agents, functions, APIs, and more. • Threads persist messages and can be shared by multiple users and agents (including human agents). • Streaming text and objects using deltas over websockets so all clients stay in sync efficiently, without http streaming. Enables streaming from async functions. • Conversation context is automatically included in each LLM call, including built-in hybrid vector/text search for messages in the thread and opt-in search for messages from other threads (for the same specified user). • RAG techniques are supported for prompt augmentation from other sources, either up front in the prompt or as tool calls. Integrates with the RAG Component, or DIY. • Workflows allow building multi-step operations that can span agents, users, durably and reliably. • Files are supported in thread history with automatic saving to file storage and ref-counting. • Debugging is enabled by callbacks, the agent playground where you can inspect all metadata and iterate on prompts and context settings, and inspection in the dashboard. • Usage tracking is easy to set up, enabling usage attribution per-provider, per-model, per-user, per-agent, for billing & more. • Rate limiting, powered by the Rate Limiter…

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01Capabilities

Does

  • No capabilities recorded

Doesn’t

  • No exclusions declared

02Requirements & stack

Depends on

No declared dependencies

Credentials needed

None declared

Stack

typescript

03Community

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This listing is unclaimed, so publisher identity cannot be verified and it stays below the “verified” tier by design — that is a statement about the listing, not about the project’s quality. Our automated scans still ran; a maintainer who claims it unlocks identity verification.

VersionChannelReleasedNotes
0.0.0stableSep 28, 2026Indexed listing — see the upstream repository for real release history.